Journal
INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS
Volume 214, Issue -, Pages 44-52Publisher
ELSEVIER
DOI: 10.1016/j.ijpe.2018.11.023
Keywords
Innovation quantity; Innovation quality; Technology imports; Self-innovation; Bayesian vector autoregression model; Panel threshold regression model
Categories
Funding
- National Natural Science Foundation of China [71663058, 71662016]
- Humanities and Social Sciences projects of the Ministry of Education [17YJA630125]
- Philosophy and Social Science Foundation of Zhejiang Province [17NDJC107YB]
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There is great meaning to analyze the relationship between technology imports and self-innovation under the frame which divides innovation into innovation quantity and innovation quality. In this paper, on the foundation of building mechanism of how technology imports and self-innovation influence innovation quantity and innovation quality, we comprehensively analyze performance of technology imports and self-innovation and relationship between them in high-tech industry by using panel threshold regression model and Bayesian vector autoregression (VAR) model. Our results suggest that technology imports and self-innovation has higher performance in innovation quality; technology imports have lower performance in innovation quality; technology imports and self-innovation has complementary relationship to a lesser extent; the threshold effect of innovation outputs by self-innovation is significant while the effect by technology imports is not significant; with increasing of technology imports level, the elasticity of self-innovation to innovation quantity is inverted U-shaped while the elasticity of self-innovation to innovation quantity is upward. China is now in the transition from concerning innovation quantity only to concerning both innovation quantity and innovation quality.
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